1. Solution : We've seen with the resources that the globalization of medical research and the use of artificial intelligence to manage medical data has already started. Then, we could testify that the process doesn't work well at any point and many improvement can be done in the future. We also include the current context of global pandemic to show how scientist from everywhere should act in a collaborative way, in order to enhance their practices, but still by respecting ethical rules.
2. Resource 6
2.1. Keywords used : collaboration between countries to exchange medical data
2.1.1. source : Google
2.2. Status of health information exchange: a comparison of six countries
2.2.1. What did I learn ? I understood why it's difficult to implement a global collaboration between countries about medical data. Actually, not all the countries got the same objectives and the same plan to enhance their medical practice. Moreover, all of them got different barriers, either ethic, politic, but also the information technology system used for transmission.
3. Resource 7
3.1. Keywords used : collaboration between countries to exchange medical data
3.1.1. source : Google
3.2. https://www.nature.com/articles/s41533-018-0075-9
3.2.1. What did I learn ? Collaboration already exists : "The UNLOCK Group is an international collaboration of primary care researchers and practitioners from 15 countries". They made studies using data from unselected primary care populations from diverse contexts to evaluate the burden of disease, multiple morbidities, treatment and follow-up, even if they got practical and structural constraints.
4. Resource 8
4.1. Keywords used : barriers of collaboration about medical data between countries
4.1.1. source : Google
4.2. Barriers and facilitators to health information exchange in low- and middle-income country settings: a systematic review
4.2.1. What did I learn ? Health information exchange (HIE) has been implemented, but for low and middle income countries, it's getting really hard to embrace the approaches and technologies to facilitate it. This failure is due to a " lack of importance given to data in decision making, corruption and insecurity, lack of training and poor infrastructure were considered to be major challenges to implementing HIE". It explains well that at the time, those countries can't deal with the challenge of data which I talked about earlier.
5. Resource 9
5.1. Keywords : country collaboration covid
5.1.1. source : Youtube
5.2. Why Global Collaboration on COVID-19 Research Is Important
5.2.1. What did I learn ? The pandemic has already changed the way we conduct global scientific research. This event enforces all the countries to implement a global collaboration. They had to make the process more open, more efficient and more collaborative on an international scale. That's a proof that it's possible to all collaborate on a single topic to make things evolve.
6. Resource 10
6.1. Keywords : ethic globalizing medical data
6.1.1. source : Google
6.2. https://anthrosource.onlinelibrary.wiley.com/doi/abs/10.1525/ae.2005.32.2.183
6.2.1. What did I learn ? Of course, globalization and the rapid growth of pharmaceutical markets led us to consider human as subject for drug research, particularly in low‐income countries. This question was also asked during the COVID-19 pandemic, when people wanted to make treatments test in Africa. This article shows that the current situation is not equal and sometimes not ethically correct. Si there are negatives aspects in collaboration.
7. Problem : At the current time, how the medical data are shared between countries and in which direction should the world go ?
8. Resource 1
8.1. Keywords used : medical data
8.1.1. source : Learning Hub
8.2. Book's title : Healthcare data analytics and management (author : Dey Nilanjan)
8.2.1. What did I learn ? With the internet, it's getting more efficient to share data between clinical researchers and physician. Multidisciplinary contributions should be useful to store and share data with machine learning or data mining for example. So there are books which allow improvement of healthcare management and data analytics.
9. Resource 2
9.1. Keywords used : medical data management
9.1.1. source : Learning Hub
9.2. Book's title : Big data analytics for intelligent healthcare management (author : Dey Nilanjan)
9.2.1. What did I learn ? In keeping with the last book from the same author, we see in this work that artificial intelligence would be very useful to help physician, clinical researchers etc, to collaborate and improve the efficiency of their work. Big data tools would let them implement an intelligent healthcare management.
10. Resource 3
10.1. Keywords used : Medical Practices Management
10.1.1. source : Youtube
10.2. Data Management and the Future of Healthcare
10.2.1. What did I learn ? Artificial intelligence is now really considered as a tool to improve medical practice. It will help all the person working in a hospital gaining time and working more efficiently with patients.
11. Resource 5
11.1. Keywords used : medical practices through the world
11.1.1. source : Google
11.2. International differences in medical care practices
11.2.1. What did I learn ? Of course, if we're talking about helping collaboration between countries, that's because there are big differences between them and we can make progress all together. The article says that we should conduct international studies in order to enhance the collaboration.
12. Resource 4
12.1. Keywords : Medical data
12.1.1. source : Youtube
12.2. Data driven healthcare: It's personal | Aaron Black | TEDxTysons
12.2.1. What did I learn ? It's not directly linked to our subject but anyway, it shows how you can use data and artificial intelligence to implement healthcare system for people, coordinating data with medical analysis etc.